Results 31 to 40 of about 2,414,065 (291)

Erratum: Raney, R.K. Hybrid Dual-Polarization Synthetic Aperture Radar. Remote Sens. 2019, 11, 1521

Remote Sensing, 2019
Due to a technical problem, Figure 1 in [...]
Remote Sensing Editorial Office
doaj   +1 more source

Remote sensing and interdisciplinary approach for studying Dubai’s urban context and development [PDF]

, 2016
Outlining the different phases and features of the urban and socio-economic development of Dubai, this work is aimed at highlighting the potential of remote sensing and the interdisciplinary approach for the study of cities characterised by overwhelming ...
DE VECCHIS, Gino, Fea, Maurizio, Pesaresi, Cristiano   +2 more
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Correction: Behling, R., et al. Automated Spatiotemporal Landslide Mapping over Large Areas Using RapidEye Time Series Data. Remote Sens. 2014, 6, 8026-8055

Remote Sensing, 2015
Due to a technical error at the Editorial Office, Figure 7 of manuscript [1] was missing in the published paper. The correct version is reproduced below. We apologize for any inconvenience caused to authors or readers of Remote Sensing.[...]
Remote Sensing Editorial Office
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South African Journal of Geomatics, 2014
Maize is considered globally as the most important agricultural grain which is staple food for many humans and feed to livestock. There is need to enhance productivity through management tools to meet the demand for growing populations. Farmers are likely to be interested in technologies that are beneficial to their operations.
Ngie, A, Ahmed, F, Abutaleb, K
openaire   +3 more sources

Acknowledgement to Reviewers of Remote Sensing in 2019

Remote Sensing, 2020
The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not.[...]
Remote Sensing Editorial Office
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Modulated Unit-Norm Tight Frames for Compressed Sensing [PDF]

, 2014
In this paper, we propose a compressed sensing (CS) framework that consists of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a column-wise orthonormal matrix.
Gan, Lu, Ling, Cong, Sun, Sumei, Zhang, Peng   +3 more
core   +1 more source

Erratum: Kromer, R.A.; et al. A 4D Filtering and Calibration Technique for Small-Scale Point Cloud Change Detection with a Terrestrial Laser Scanner. Remote Sensing 2015, 7, 13029–13052

Remote Sensing, 2015
The Remote Sensing Editorial Office wishes to make the following erratum to this paper [1]. [...]
Remote Sensing Editorial Office
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Retraction: He, S., et al. The Exploration of Urban Material Anabolism Based on RS and GIS Methods: Case Study in Jinchang, China. Remote Sens. 2020, 12, 370

Remote Sensing, 2020
The Remote Sensing Editorial Office has been made aware that the published paper [...]
Remote Sensing Editorial Office
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Erratum: Bircher, S.; et al. L-Band Relative Permittivity of Organic Soil Surface Layers—A New Dataset of Resonant Cavity Measurements and Model Evaluation. Remote Sens. 2016, 8, 1024

Remote Sensing, 2017
n ...
Remote Sensing Editorial Office
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On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices [PDF]

, 2015
This letter is on the performance of the turbo signal recovery (TSR) algorithm for partial discrete Fourier transform (DFT) matrices based compressed sensing.
Ma, Junjie, Ping, Li, Yuan, Xiaojun
core   +1 more source